CodeStips

Python Applications

Learning Python for Career Switchers

Career & Job Tips

Python is a beginner-friendly, versatile programming language ideal for career changers, opening doors to web development, data science, and automation fields.

Load Testing Python Applications

Testing & Debugging

Load testing helps Python apps handle real traffic by simulating stress to ensure reliability and performance under pressure.

Python Career Recap: Step-by-Step Guide

Career & Job Tips

Python offers immense career opportunities due to its versatility and demand. Learn the basics, specialize, and build projects to grow your career in data, web dev, or automation.

Python Garbage Collection in OOP

Object-Oriented Programming in Python

Python uses reference counting and cyclic garbage collection to automatically manage memory in OOP, ensuring efficient and memory-safe applications.

Python To-Do List Application

Python for Beginners

Learn to build a console-based to-do app in Python with features like adding tasks, removing completed ones, and displaying the list.

Reducing Database Queries

Best Practices & Optimization

Learn practical tips to reduce database queries in Python apps using ORMs like SQLAlchemy and Django or raw SQL to boost performance and cut latency.

Sanity Testing Basics

Testing & Debugging

Sanity testing quickly verifies if recent code changes function correctly, ensuring software stability after updates and preventing major bugs before full testing.

Testing and Debugging Roadmap for Beginners

Testing & Debugging

A beginner-friendly guide to Python testing and debugging, covering essential techniques to write reliable and robust applications.

Using Environment Variables

Best Practices & Optimization

Environment variables are key for configuring Python applications, separating code from settings like API keys. They enhance security and portability.